{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imbalanced Weighted Binary Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.13.1\n"
     ]
    }
   ],
   "source": [
    "import shutil\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>LIMIT_BAL</th>\n",
       "      <th>SEX</th>\n",
       "      <th>EDUCATION</th>\n",
       "      <th>MARRIAGE</th>\n",
       "      <th>AGE</th>\n",
       "      <th>PAY_0</th>\n",
       "      <th>PAY_2</th>\n",
       "      <th>PAY_3</th>\n",
       "      <th>PAY_4</th>\n",
       "      <th>...</th>\n",
       "      <th>BILL_AMT4</th>\n",
       "      <th>BILL_AMT5</th>\n",
       "      <th>BILL_AMT6</th>\n",
       "      <th>PAY_AMT1</th>\n",
       "      <th>PAY_AMT2</th>\n",
       "      <th>PAY_AMT3</th>\n",
       "      <th>PAY_AMT4</th>\n",
       "      <th>PAY_AMT5</th>\n",
       "      <th>PAY_AMT6</th>\n",
       "      <th>default.payment.next.month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>689.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>-1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3272.0</td>\n",
       "      <td>3455.0</td>\n",
       "      <td>3261.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>14331.0</td>\n",
       "      <td>14948.0</td>\n",
       "      <td>15549.0</td>\n",
       "      <td>1518.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>28314.0</td>\n",
       "      <td>28959.0</td>\n",
       "      <td>29547.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>1069.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>20940.0</td>\n",
       "      <td>19146.0</td>\n",
       "      <td>19131.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>36681.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>689.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID  LIMIT_BAL  SEX  EDUCATION  MARRIAGE  AGE  PAY_0  PAY_2  PAY_3  PAY_4  \\\n",
       "0   1    20000.0    2          2         1   24      2      2     -1     -1   \n",
       "1   2   120000.0    2          2         2   26     -1      2      0      0   \n",
       "2   3    90000.0    2          2         2   34      0      0      0      0   \n",
       "3   4    50000.0    2          2         1   37      0      0      0      0   \n",
       "4   5    50000.0    1          2         1   57     -1      0     -1      0   \n",
       "\n",
       "   ...  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  PAY_AMT2  PAY_AMT3  \\\n",
       "0  ...        0.0        0.0        0.0       0.0     689.0       0.0   \n",
       "1  ...     3272.0     3455.0     3261.0       0.0    1000.0    1000.0   \n",
       "2  ...    14331.0    14948.0    15549.0    1518.0    1500.0    1000.0   \n",
       "3  ...    28314.0    28959.0    29547.0    2000.0    2019.0    1200.0   \n",
       "4  ...    20940.0    19146.0    19131.0    2000.0   36681.0   10000.0   \n",
       "\n",
       "   PAY_AMT4  PAY_AMT5  PAY_AMT6  default.payment.next.month  \n",
       "0       0.0       0.0       0.0                           1  \n",
       "1    1000.0       0.0    2000.0                           1  \n",
       "2    1000.0    1000.0    5000.0                           0  \n",
       "3    1100.0    1069.0    1000.0                           0  \n",
       "4    9000.0     689.0     679.0                           0  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(filepath_or_buffer = \"UCI_Credit_Card.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>LIMIT_BAL</th>\n",
       "      <th>SEX</th>\n",
       "      <th>EDUCATION</th>\n",
       "      <th>MARRIAGE</th>\n",
       "      <th>AGE</th>\n",
       "      <th>PAY_0</th>\n",
       "      <th>PAY_2</th>\n",
       "      <th>PAY_3</th>\n",
       "      <th>PAY_4</th>\n",
       "      <th>...</th>\n",
       "      <th>BILL_AMT4</th>\n",
       "      <th>BILL_AMT5</th>\n",
       "      <th>BILL_AMT6</th>\n",
       "      <th>PAY_AMT1</th>\n",
       "      <th>PAY_AMT2</th>\n",
       "      <th>PAY_AMT3</th>\n",
       "      <th>PAY_AMT4</th>\n",
       "      <th>PAY_AMT5</th>\n",
       "      <th>PAY_AMT6</th>\n",
       "      <th>default.payment.next.month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>3.000000e+04</td>\n",
       "      <td>30000.00000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15000.500000</td>\n",
       "      <td>167484.322667</td>\n",
       "      <td>1.603733</td>\n",
       "      <td>1.853133</td>\n",
       "      <td>1.551867</td>\n",
       "      <td>35.485500</td>\n",
       "      <td>-0.016700</td>\n",
       "      <td>-0.133767</td>\n",
       "      <td>-0.166200</td>\n",
       "      <td>-0.220667</td>\n",
       "      <td>...</td>\n",
       "      <td>43262.948967</td>\n",
       "      <td>40311.400967</td>\n",
       "      <td>38871.760400</td>\n",
       "      <td>5663.580500</td>\n",
       "      <td>5.921163e+03</td>\n",
       "      <td>5225.68150</td>\n",
       "      <td>4826.076867</td>\n",
       "      <td>4799.387633</td>\n",
       "      <td>5215.502567</td>\n",
       "      <td>0.221200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8660.398374</td>\n",
       "      <td>129747.661567</td>\n",
       "      <td>0.489129</td>\n",
       "      <td>0.790349</td>\n",
       "      <td>0.521970</td>\n",
       "      <td>9.217904</td>\n",
       "      <td>1.123802</td>\n",
       "      <td>1.197186</td>\n",
       "      <td>1.196868</td>\n",
       "      <td>1.169139</td>\n",
       "      <td>...</td>\n",
       "      <td>64332.856134</td>\n",
       "      <td>60797.155770</td>\n",
       "      <td>59554.107537</td>\n",
       "      <td>16563.280354</td>\n",
       "      <td>2.304087e+04</td>\n",
       "      <td>17606.96147</td>\n",
       "      <td>15666.159744</td>\n",
       "      <td>15278.305679</td>\n",
       "      <td>17777.465775</td>\n",
       "      <td>0.415062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-170000.000000</td>\n",
       "      <td>-81334.000000</td>\n",
       "      <td>-339603.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7500.750000</td>\n",
       "      <td>50000.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2326.750000</td>\n",
       "      <td>1763.000000</td>\n",
       "      <td>1256.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>8.330000e+02</td>\n",
       "      <td>390.00000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>252.500000</td>\n",
       "      <td>117.750000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>15000.500000</td>\n",
       "      <td>140000.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>19052.000000</td>\n",
       "      <td>18104.500000</td>\n",
       "      <td>17071.000000</td>\n",
       "      <td>2100.000000</td>\n",
       "      <td>2.009000e+03</td>\n",
       "      <td>1800.00000</td>\n",
       "      <td>1500.000000</td>\n",
       "      <td>1500.000000</td>\n",
       "      <td>1500.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>22500.250000</td>\n",
       "      <td>240000.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>54506.000000</td>\n",
       "      <td>50190.500000</td>\n",
       "      <td>49198.250000</td>\n",
       "      <td>5006.000000</td>\n",
       "      <td>5.000000e+03</td>\n",
       "      <td>4505.00000</td>\n",
       "      <td>4013.250000</td>\n",
       "      <td>4031.500000</td>\n",
       "      <td>4000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>30000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>891586.000000</td>\n",
       "      <td>927171.000000</td>\n",
       "      <td>961664.000000</td>\n",
       "      <td>873552.000000</td>\n",
       "      <td>1.684259e+06</td>\n",
       "      <td>896040.00000</td>\n",
       "      <td>621000.000000</td>\n",
       "      <td>426529.000000</td>\n",
       "      <td>528666.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ID       LIMIT_BAL           SEX     EDUCATION      MARRIAGE  \\\n",
       "count  30000.000000    30000.000000  30000.000000  30000.000000  30000.000000   \n",
       "mean   15000.500000   167484.322667      1.603733      1.853133      1.551867   \n",
       "std     8660.398374   129747.661567      0.489129      0.790349      0.521970   \n",
       "min        1.000000    10000.000000      1.000000      0.000000      0.000000   \n",
       "25%     7500.750000    50000.000000      1.000000      1.000000      1.000000   \n",
       "50%    15000.500000   140000.000000      2.000000      2.000000      2.000000   \n",
       "75%    22500.250000   240000.000000      2.000000      2.000000      2.000000   \n",
       "max    30000.000000  1000000.000000      2.000000      6.000000      3.000000   \n",
       "\n",
       "                AGE         PAY_0         PAY_2         PAY_3         PAY_4  \\\n",
       "count  30000.000000  30000.000000  30000.000000  30000.000000  30000.000000   \n",
       "mean      35.485500     -0.016700     -0.133767     -0.166200     -0.220667   \n",
       "std        9.217904      1.123802      1.197186      1.196868      1.169139   \n",
       "min       21.000000     -2.000000     -2.000000     -2.000000     -2.000000   \n",
       "25%       28.000000     -1.000000     -1.000000     -1.000000     -1.000000   \n",
       "50%       34.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%       41.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max       79.000000      8.000000      8.000000      8.000000      8.000000   \n",
       "\n",
       "       ...      BILL_AMT4      BILL_AMT5      BILL_AMT6       PAY_AMT1  \\\n",
       "count  ...   30000.000000   30000.000000   30000.000000   30000.000000   \n",
       "mean   ...   43262.948967   40311.400967   38871.760400    5663.580500   \n",
       "std    ...   64332.856134   60797.155770   59554.107537   16563.280354   \n",
       "min    ... -170000.000000  -81334.000000 -339603.000000       0.000000   \n",
       "25%    ...    2326.750000    1763.000000    1256.000000    1000.000000   \n",
       "50%    ...   19052.000000   18104.500000   17071.000000    2100.000000   \n",
       "75%    ...   54506.000000   50190.500000   49198.250000    5006.000000   \n",
       "max    ...  891586.000000  927171.000000  961664.000000  873552.000000   \n",
       "\n",
       "           PAY_AMT2      PAY_AMT3       PAY_AMT4       PAY_AMT5  \\\n",
       "count  3.000000e+04   30000.00000   30000.000000   30000.000000   \n",
       "mean   5.921163e+03    5225.68150    4826.076867    4799.387633   \n",
       "std    2.304087e+04   17606.96147   15666.159744   15278.305679   \n",
       "min    0.000000e+00       0.00000       0.000000       0.000000   \n",
       "25%    8.330000e+02     390.00000     296.000000     252.500000   \n",
       "50%    2.009000e+03    1800.00000    1500.000000    1500.000000   \n",
       "75%    5.000000e+03    4505.00000    4013.250000    4031.500000   \n",
       "max    1.684259e+06  896040.00000  621000.000000  426529.000000   \n",
       "\n",
       "            PAY_AMT6  default.payment.next.month  \n",
       "count   30000.000000                30000.000000  \n",
       "mean     5215.502567                    0.221200  \n",
       "std     17777.465775                    0.415062  \n",
       "min         0.000000                    0.000000  \n",
       "25%       117.750000                    0.000000  \n",
       "50%      1500.000000                    0.000000  \n",
       "75%      4000.000000                    0.000000  \n",
       "max    528666.000000                    1.000000  \n",
       "\n",
       "[8 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "FEATURE_NAMES = list(df.columns)\n",
    "NUMERIC_FEATURE_NAMES = \"LIMIT_BAL,AGE,BILL_AMT1,BILL_AMT2,BILL_AMT3,BILL_AMT4,BILL_AMT5,BILL_AMT6,PAY_AMT1,PAY_AMT2,PAY_AMT3,PAY_AMT4,PAY_AMT5,PAY_AMT6\".split(',')\n",
    "CATEGORICAL_FEATURE_NAMES = \"SEX,EDUCATION,MARRIAGE,PAY_0,PAY_2,PAY_3,PAY_4,PAY_5,PAY_6\".split(',')\n",
    "LABEL_NAME = FEATURE_NAMES[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_rows = 27000 & eval_rows = 3000\n"
     ]
    }
   ],
   "source": [
    "train_rows = int(len(df) * 0.9)\n",
    "eval_rows = len(df) - train_rows\n",
    "print(\"train_rows = {} & eval_rows = {}\".format(train_rows, eval_rows))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_input_fn(df, batch_size = 128):\n",
    "  #1. Convert dataframe into correct (features,label) format for Estimator API\n",
    "  dataset = tf.data.Dataset.from_tensor_slices(\n",
    "    tensors = (dict(df[FEATURE_NAMES]), df[LABEL_NAME]))\n",
    "\n",
    "  # Note:\n",
    "  # If we returned now, the Dataset would iterate over the data once  \n",
    "  # in a fixed order, and only produce a single element at a time.\n",
    "\n",
    "  #2. Shuffle, repeat, and batch the examples.\n",
    "  dataset = dataset.shuffle(buffer_size = 1000).repeat(count = None).batch(batch_size = batch_size)\n",
    "\n",
    "  return dataset\n",
    "\n",
    "def eval_input_fn(df, batch_size = 128):\n",
    "  #1. Convert dataframe into correct (features,label) format for Estimator API\n",
    "  dataset = tf.data.Dataset.from_tensor_slices(\n",
    "    tensors = (dict(df[FEATURE_NAMES]), df[LABEL_NAME]))\n",
    "\n",
    "  #2.Batch the examples.\n",
    "  dataset = dataset.batch(batch_size = batch_size)\n",
    "\n",
    "  return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_feature_columns():\n",
    "  numeric_columns = [tf.feature_column.numeric_column(key = key) \n",
    "                     for key in NUMERIC_FEATURE_NAMES]\n",
    "  categorical_columns = [tf.feature_column.indicator_column(\n",
    "    categorical_column = tf.feature_column.categorical_column_with_vocabulary_list(\n",
    "      key = key, \n",
    "      vocabulary_list = list(df[key].unique()))) \n",
    "                         for key in CATEGORICAL_FEATURE_NAMES]\n",
    "\n",
    "  feature_columns = numeric_columns + categorical_columns\n",
    "\n",
    "  return feature_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_fn(features, labels, mode, params):\n",
    "  input_layer = tf.feature_column.input_layer(\n",
    "    features = features, \n",
    "    feature_columns = create_feature_columns())\n",
    "  \n",
    "  logits = tf.layers.dense(\n",
    "    inputs = \n",
    "    input_layer, \n",
    "    units = 1, \n",
    "    activation = None)\n",
    "  \n",
    "  # shape = (current_batch_size, 1)\n",
    "  probabilities = tf.nn.sigmoid(x = logits)\n",
    "  \n",
    "  # shape = (current_batch_size,)\n",
    "  class_ids = tf.where(\n",
    "    condition = probabilities < 0.5, \n",
    "    x = tf.zeros_like(tensor = probabilities, dtype = tf.float64), \n",
    "    y = tf.ones_like(tensor = probabilities, dtype = tf.float64))\n",
    "  \n",
    "  if mode == tf.estimator.ModeKeys.TRAIN or mode == tf.estimator.ModeKeys.EVAL:\n",
    "    labels = tf.expand_dims(\n",
    "      input = tf.cast(x = labels, dtype = tf.float32), \n",
    "      axis = -1)\n",
    "    \n",
    "    loss = tf.reduce_mean(\n",
    "      input_tensor = tf.nn.weighted_cross_entropy_with_logits(\n",
    "        targets = labels, \n",
    "        logits = logits, \n",
    "        pos_weight = params[\"pos_weight\"]))\n",
    "    \n",
    "    if mode == tf.estimator.ModeKeys.TRAIN:\n",
    "      train_op = tf.contrib.layers.optimize_loss(\n",
    "        loss = loss, \n",
    "        global_step = tf.train.get_global_step(),\n",
    "        learning_rate = params[\"learning_rate\"], \n",
    "        optimizer = \"Adam\")\n",
    "      eval_metric_ops = None\n",
    "    else:\n",
    "      train_op = None\n",
    "      eval_metric_ops = {\n",
    "        \"accuracy\": tf.metrics.accuracy(\n",
    "          labels = labels, \n",
    "          predictions = class_ids),\n",
    "        \"true_positives_at_thresholds\": tf.metrics.true_positives_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))), \n",
    "        \"false_negatives_at_thresholds\": tf.metrics.false_negatives_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))),\n",
    "        \"false_positives_at_thresholds\": tf.metrics.false_positives_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))), \n",
    "        \"true_negatives_at_thresholds\": tf.metrics.true_negatives_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))),\n",
    "        \"precision_at_thresholds\": tf.metrics.precision_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))), \n",
    "        \"recall_at_thresholds\": tf.metrics.recall_at_thresholds(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          thresholds = list(np.arange(0.0, 1.005, 0.005))),\n",
    "        \"auc_roc\": tf.metrics.auc(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          curve = \"ROC\", \n",
    "          summation_method = \"careful_interpolation\"),\n",
    "        \"auc_pr\": tf.metrics.auc(\n",
    "          labels = labels, \n",
    "          predictions = probabilities, \n",
    "          curve = \"PR\", \n",
    "          summation_method = \"careful_interpolation\")}\n",
    "  else:\n",
    "    loss = None\n",
    "    train_op = None\n",
    "    eval_metric_ops = None\n",
    " \n",
    "  return tf.estimator.EstimatorSpec(\n",
    "    mode = mode,\n",
    "    predictions = {\n",
    "      \"probabilities\": probabilities, \n",
    "      \"class_ids\": class_ids},\n",
    "    loss = loss,\n",
    "    train_op = train_op,\n",
    "    eval_metric_ops = eval_metric_ops,\n",
    "    export_outputs = {\n",
    "      \"classes\": tf.estimator.export.PredictOutput(\n",
    "        outputs = {\n",
    "          \"probabilities\": probabilities, \n",
    "          \"class_ids\": class_ids})})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def serving_input_fn():\n",
    "  numeric_feature_placeholders = {key: tf.placeholder(\n",
    "    dtype = tf.float64, \n",
    "    shape = [None]) \n",
    "                                  for key in NUMERIC_FEATURE_NAMES}\n",
    "  categorical_feature_placeholders = {key: tf.placeholder(\n",
    "    dtype = tf.int64, \n",
    "    shape = [None]) \n",
    "                                      for key in CATEGORICAL_FEATURE_NAMES}\n",
    "\n",
    "  feature_placeholders = {**numeric_feature_placeholders, \n",
    "                          **categorical_feature_placeholders}\n",
    "\n",
    "  features = feature_placeholders\n",
    "\n",
    "  return tf.estimator.export.ServingInputReceiver(\n",
    "    features = features, \n",
    "    receiver_tensors = feature_placeholders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_and_evaluate(output_dir, hparams):\n",
    "  # Ensure filewriter cache is clear for TensorBoard events file\n",
    "  tf.summary.FileWriterCache.clear()\n",
    "  EVAL_INTERVAL = 60\n",
    "\n",
    "  estimator = tf.estimator.Estimator(\n",
    "    model_fn = model_fn,\n",
    "    params = hparams,\n",
    "    config = tf.estimator.RunConfig(\n",
    "      save_checkpoints_secs = EVAL_INTERVAL, \n",
    "      tf_random_seed = 1),\n",
    "    model_dir = output_dir)\n",
    "  \n",
    "  train_spec = tf.estimator.TrainSpec(\n",
    "    input_fn = lambda: train_input_fn(\n",
    "      df = df[:train_rows], \n",
    "      batch_size = hparams[\"train_batch_size\"]),\n",
    "    max_steps = hparams[\"train_steps\"])\n",
    "  \n",
    "  exporter = tf.estimator.LatestExporter(\n",
    "    name = \"exporter\", \n",
    "    serving_input_receiver_fn = serving_input_fn)\n",
    "  \n",
    "  eval_spec = tf.estimator.EvalSpec(\n",
    "    input_fn = lambda: eval_input_fn(\n",
    "      df = df[train_rows:], \n",
    "      batch_size = hparams[\"eval_batch_size\"]),\n",
    "    steps = None,\n",
    "    exporters = exporter,\n",
    "    throttle_secs = EVAL_INTERVAL)\n",
    "  \n",
    "  tf.estimator.train_and_evaluate(\n",
    "    estimator = estimator, \n",
    "    train_spec = train_spec, \n",
    "    eval_spec = eval_spec)\n",
    "  \n",
    "  return estimator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "hparams = {}\n",
    "hparams[\"train_batch_size\"] = 128\n",
    "hparams[\"eval_batch_size\"] = 128\n",
    "hparams[\"learning_rate\"] = 0.01\n",
    "hparams[\"train_steps\"] = 1000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train unweighted loss model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_experimental_distribute': None, '_num_ps_replicas': 0, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_train_distribute': None, '_save_checkpoints_steps': None, '_log_step_count_steps': 100, '_save_checkpoints_secs': 60, '_model_dir': 'unweighted_trained', '_session_config': allow_soft_placement: true\n",
      "graph_options {\n",
      "  rewrite_options {\n",
      "    meta_optimizer_iterations: ONE\n",
      "  }\n",
      "}\n",
      ", '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fbb6c1f4a20>, '_device_fn': None, '_protocol': None, '_num_worker_replicas': 1, '_save_summary_steps': 100, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_tf_random_seed': 1, '_eval_distribute': None, '_master': '', '_service': None, '_task_type': 'worker', '_is_chief': True}\n",
      "INFO:tensorflow:Not using Distribute Coordinator.\n",
      "INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
      "INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 60.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:205: NumericColumn._get_dense_tensor (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:2121: NumericColumn._transform_feature (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column_v2.py:2703: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:206: NumericColumn._variable_shape (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:205: IndicatorColumn._get_dense_tensor (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:2121: IndicatorColumn._transform_feature (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column_v2.py:4295: VocabularyListCategoricalColumn._get_sparse_tensors (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column.py:2121: VocabularyListCategoricalColumn._transform_feature (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column_v2.py:3727: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column_v2.py:4266: IndicatorColumn._variable_shape (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/feature_column/feature_column_v2.py:4321: VocabularyListCategoricalColumn._num_buckets (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed after 2018-11-30.\n",
      "Instructions for updating:\n",
      "The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
      "WARNING:tensorflow:From <ipython-input-8-a0a15a322d3c>:10: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use keras.layers.dense instead.\n",
      "\n",
      "WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
      "For more information, please see:\n",
      "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
      "  * https://github.com/tensorflow/addons\n",
      "If you depend on functionality not listed there, please file an issue.\n",
      "\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 0 into unweighted_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 7690.6133, step = 1\n",
      "INFO:tensorflow:global_step/sec: 51.4104\n",
      "INFO:tensorflow:loss = 171.12515, step = 101 (1.946 sec)\n",
      "INFO:tensorflow:global_step/sec: 86.4919\n",
      "INFO:tensorflow:loss = 138.53726, step = 201 (1.159 sec)\n",
      "INFO:tensorflow:global_step/sec: 70.2228\n",
      "INFO:tensorflow:loss = 76.494774, step = 301 (1.425 sec)\n",
      "INFO:tensorflow:global_step/sec: 79.0351\n",
      "INFO:tensorflow:loss = 279.64957, step = 401 (1.265 sec)\n",
      "INFO:tensorflow:global_step/sec: 69.8543\n",
      "INFO:tensorflow:loss = 109.989716, step = 501 (1.429 sec)\n",
      "INFO:tensorflow:global_step/sec: 90.3464\n",
      "INFO:tensorflow:loss = 84.39137, step = 601 (1.107 sec)\n",
      "INFO:tensorflow:global_step/sec: 75.9803\n",
      "INFO:tensorflow:loss = 72.40105, step = 701 (1.317 sec)\n",
      "INFO:tensorflow:global_step/sec: 75.9063\n",
      "INFO:tensorflow:loss = 110.957275, step = 801 (1.319 sec)\n",
      "INFO:tensorflow:global_step/sec: 86.8205\n",
      "INFO:tensorflow:loss = 50.137306, step = 901 (1.152 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1000 into unweighted_trained/model.ckpt.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/metrics_impl.py:2083: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Deprecated in favor of operator or tf.math.divide.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-22T05:57:34Z\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n",
      "INFO:tensorflow:Restoring parameters from unweighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-22-05:57:36\n",
      "INFO:tensorflow:Saving dict for global step 1000: accuracy = 0.537, auc_pr = 0.25511566, auc_roc = 0.566863, false_negatives_at_thresholds = [240. 250. 250. 251. 251. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252. 252.\n",
      " 252. 252. 252. 252. 252. 252. 252. 253. 253. 253. 253. 253. 253. 253.\n",
      " 253. 253. 253. 253. 253. 253. 253. 253. 253. 253. 253. 253. 253. 253.\n",
      " 253. 253. 253. 253. 253. 253. 253. 253. 253. 253. 254. 254. 254. 254.\n",
      " 254. 254. 254. 254. 254. 254. 254. 254. 254. 254. 254. 254. 255. 255.\n",
      " 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255.\n",
      " 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255.\n",
      " 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255.\n",
      " 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255. 255.\n",
      " 256. 256. 256. 256. 663.], false_positives_at_thresholds = [1157. 1141. 1140. 1139. 1139. 1139. 1139. 1139. 1138. 1137. 1137. 1137.\n",
      " 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137.\n",
      " 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137.\n",
      " 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137.\n",
      " 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1137. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136. 1136.\n",
      " 1136. 1136. 1136. 1136. 1135. 1135. 1134. 1133. 1133. 1133. 1133. 1133.\n",
      " 1132. 1132. 1132. 1132. 1131. 1131. 1130. 1128.    0.], global_step = 1000, loss = 344.1027, precision_at_thresholds = [0.26772153 0.26576576 0.2659369  0.26563507 0.26563507 0.26516128\n",
      " 0.26516128 0.26516128 0.26533246 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388 0.26550388\n",
      " 0.26550388 0.26550388 0.26550388 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551 0.26567551\n",
      " 0.26567551 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053\n",
      " 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053\n",
      " 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053\n",
      " 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053\n",
      " 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053 0.26520053\n",
      " 0.26520053 0.26520053 0.2647249  0.2647249  0.2647249  0.2647249\n",
      " 0.2647249  0.2647249  0.2647249  0.2647249  0.2647249  0.2647249\n",
      " 0.2647249  0.2647249  0.2647249  0.2647249  0.2647249  0.2647249\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.2642487  0.2642487\n",
      " 0.2642487  0.2642487  0.2642487  0.2642487  0.26441997 0.26441997\n",
      " 0.26459143 0.26476315 0.26476315 0.26476315 0.26476315 0.26476315\n",
      " 0.26493508 0.26493508 0.26493508 0.26493508 0.2646294  0.2646294\n",
      " 0.26480156 0.26514658 0.        ], recall_at_thresholds = [0.6380091  0.6229261  0.6229261  0.6214178  0.6214178  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6199095  0.6199095  0.6199095  0.6199095  0.6199095\n",
      " 0.6199095  0.6184012  0.6184012  0.6184012  0.6184012  0.6184012\n",
      " 0.6184012  0.6184012  0.6184012  0.6184012  0.6184012  0.6184012\n",
      " 0.6184012  0.6184012  0.6184012  0.6184012  0.6184012  0.6184012\n",
      " 0.6184012  0.6184012  0.6184012  0.6184012  0.6184012  0.6184012\n",
      " 0.6184012  0.6184012  0.6184012  0.6184012  0.6184012  0.6184012\n",
      " 0.6184012  0.6184012  0.61689293 0.61689293 0.61689293 0.61689293\n",
      " 0.61689293 0.61689293 0.61689293 0.61689293 0.61689293 0.61689293\n",
      " 0.61689293 0.61689293 0.61689293 0.61689293 0.61689293 0.61689293\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464 0.61538464\n",
      " 0.61538464 0.61538464 0.61538464 0.61538464 0.61387634 0.61387634\n",
      " 0.61387634 0.61387634 0.        ], true_negatives_at_thresholds = [1180. 1196. 1197. 1198. 1198. 1198. 1198. 1198. 1199. 1200. 1200. 1200.\n",
      " 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200.\n",
      " 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200.\n",
      " 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200.\n",
      " 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1200. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201. 1201.\n",
      " 1201. 1201. 1201. 1201. 1202. 1202. 1203. 1204. 1204. 1204. 1204. 1204.\n",
      " 1205. 1205. 1205. 1205. 1206. 1206. 1207. 1209. 2337.], true_positives_at_thresholds = [423. 413. 413. 412. 412. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411. 411.\n",
      " 411. 411. 411. 411. 411. 411. 411. 410. 410. 410. 410. 410. 410. 410.\n",
      " 410. 410. 410. 410. 410. 410. 410. 410. 410. 410. 410. 410. 410. 410.\n",
      " 410. 410. 410. 410. 410. 410. 410. 410. 410. 410. 409. 409. 409. 409.\n",
      " 409. 409. 409. 409. 409. 409. 409. 409. 409. 409. 409. 409. 408. 408.\n",
      " 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408.\n",
      " 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408.\n",
      " 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408.\n",
      " 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408. 408.\n",
      " 407. 407. 407. 407.   0.]\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1000: unweighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/saved_model/signature_def_utils_impl.py:205: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Train: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['classes', 'serving_default']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Eval: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Restoring parameters from unweighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: unweighted_trained/export/exporter/temp-b'1558504656'/saved_model.pb\n",
      "INFO:tensorflow:Loss for final step: 52.730408.\n"
     ]
    }
   ],
   "source": [
    "tf.logging.set_verbosity(v = tf.logging.INFO)\n",
    "UNWEIGHTED_MODEL_DIR = \"unweighted_trained\"\n",
    "hparams[\"pos_weight\"] = 1.0\n",
    "shutil.rmtree(path = UNWEIGHTED_MODEL_DIR, ignore_errors = True) # start fresh each time\n",
    "unweighted_estimator = train_and_evaluate(UNWEIGHTED_MODEL_DIR, hparams)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now train weighted loss model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.520795660036166"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_positive_ratio = 1.0 / df[LABEL_NAME].mean()\n",
    "negative_positive_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using config: {'_global_id_in_cluster': 0, '_experimental_distribute': None, '_num_ps_replicas': 0, '_task_id': 0, '_keep_checkpoint_every_n_hours': 10000, '_train_distribute': None, '_save_checkpoints_steps': None, '_log_step_count_steps': 100, '_save_checkpoints_secs': 60, '_model_dir': 'weighted_trained', '_session_config': allow_soft_placement: true\n",
      "graph_options {\n",
      "  rewrite_options {\n",
      "    meta_optimizer_iterations: ONE\n",
      "  }\n",
      "}\n",
      ", '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fba72246198>, '_device_fn': None, '_protocol': None, '_num_worker_replicas': 1, '_save_summary_steps': 100, '_evaluation_master': '', '_keep_checkpoint_max': 5, '_tf_random_seed': 1, '_eval_distribute': None, '_master': '', '_service': None, '_task_type': 'worker', '_is_chief': True}\n",
      "INFO:tensorflow:Not using Distribute Coordinator.\n",
      "INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
      "INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 60.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 0 into weighted_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 34767.69, step = 1\n",
      "INFO:tensorflow:global_step/sec: 86.8869\n",
      "INFO:tensorflow:loss = 806.5227, step = 101 (1.152 sec)\n",
      "INFO:tensorflow:global_step/sec: 133.58\n",
      "INFO:tensorflow:loss = 508.7262, step = 201 (0.749 sec)\n",
      "INFO:tensorflow:global_step/sec: 126.595\n",
      "INFO:tensorflow:loss = 158.88995, step = 301 (0.790 sec)\n",
      "INFO:tensorflow:global_step/sec: 127.891\n",
      "INFO:tensorflow:loss = 273.61188, step = 401 (0.782 sec)\n",
      "INFO:tensorflow:global_step/sec: 132.866\n",
      "INFO:tensorflow:loss = 942.9306, step = 501 (0.752 sec)\n",
      "INFO:tensorflow:global_step/sec: 132.066\n",
      "INFO:tensorflow:loss = 249.74945, step = 601 (0.757 sec)\n",
      "INFO:tensorflow:global_step/sec: 129.761\n",
      "INFO:tensorflow:loss = 143.31935, step = 701 (0.771 sec)\n",
      "INFO:tensorflow:global_step/sec: 133.689\n",
      "INFO:tensorflow:loss = 65.374985, step = 801 (0.748 sec)\n",
      "INFO:tensorflow:global_step/sec: 127.699\n",
      "INFO:tensorflow:loss = 73.86525, step = 901 (0.783 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1000 into weighted_trained/model.ckpt.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-22T05:57:49Z\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from weighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-22-05:57:50\n",
      "INFO:tensorflow:Saving dict for global step 1000: accuracy = 0.6396667, auc_pr = 0.27948627, auc_roc = 0.5913484, false_negatives_at_thresholds = [311. 326. 327. 327. 327. 327. 329. 329. 329. 330. 330. 330. 330. 330.\n",
      " 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330.\n",
      " 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330.\n",
      " 330. 330. 330. 330. 330. 330. 330. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 333. 333. 333. 333. 333.\n",
      " 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333.\n",
      " 333. 333. 333. 333. 333. 333. 334. 334. 334. 334. 334. 335. 335. 335.\n",
      " 335. 335. 335. 335. 335. 335. 335. 335. 335. 335. 336. 336. 336. 337.\n",
      " 337. 339. 339. 341. 663.], false_positives_at_thresholds = [816. 766. 765. 763. 763. 760. 760. 758. 758. 758. 757. 757. 756. 756.\n",
      " 756. 756. 755. 755. 755. 755. 755. 755. 755. 755. 755. 755. 755. 755.\n",
      " 755. 755. 754. 754. 753. 753. 753. 753. 752. 752. 752. 752. 751. 751.\n",
      " 751. 750. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749.\n",
      " 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749.\n",
      " 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749.\n",
      " 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749.\n",
      " 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749. 749.\n",
      " 749. 749. 749. 749. 749. 749. 749. 748. 748. 748. 748. 748. 748. 748.\n",
      " 748. 748. 748. 748. 748. 748. 748. 748. 748. 748. 747. 746. 746. 746.\n",
      " 746. 746. 746. 746. 746. 745. 745. 745. 745. 745. 745. 745. 744. 744.\n",
      " 744. 744. 744. 743. 743. 743. 743. 743. 743. 743. 743. 743. 743. 743.\n",
      " 743. 743. 743. 743. 742. 741. 741. 741. 741. 740. 739. 739. 739. 738.\n",
      " 738. 737. 737. 737. 737. 737. 737. 736. 736. 735. 735. 735. 735. 733.\n",
      " 731. 730. 728. 722.   0.], global_step = 1000, loss = 159.26207, precision_at_thresholds = [0.30136988 0.30553037 0.30517712 0.3057325  0.3057325  0.30656934\n",
      " 0.30530164 0.30586082 0.30586082 0.30522457 0.3055046  0.3055046\n",
      " 0.30578512 0.30578512 0.30578512 0.30578512 0.3060662  0.3060662\n",
      " 0.3060662  0.3060662  0.3060662  0.3060662  0.3060662  0.3060662\n",
      " 0.3060662  0.3060662  0.3060662  0.3060662  0.3060662  0.3060662\n",
      " 0.30634776 0.30634776 0.30662984 0.30662984 0.30662984 0.30662984\n",
      " 0.30691245 0.30691245 0.30691245 0.30691245 0.30719557 0.30719557\n",
      " 0.30719557 0.30747923 0.3077634  0.3077634  0.3077634  0.3077634\n",
      " 0.3077634  0.30712304 0.30712304 0.30712304 0.30712304 0.30712304\n",
      " 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304\n",
      " 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304\n",
      " 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304 0.30712304\n",
      " 0.30712304 0.30712304 0.30712304 0.30712304 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148\n",
      " 0.30648148 0.30648148 0.30648148 0.30648148 0.30648148 0.30676553\n",
      " 0.30676553 0.30676553 0.30676553 0.30676553 0.30676553 0.30676553\n",
      " 0.30676553 0.30676553 0.30676553 0.30676553 0.30676553 0.30676553\n",
      " 0.30676553 0.30676553 0.30676553 0.30676553 0.30705008 0.3073352\n",
      " 0.3073352  0.3073352  0.3073352  0.3073352  0.3073352  0.3073352\n",
      " 0.3073352  0.30762082 0.30762082 0.30762082 0.30762082 0.30697674\n",
      " 0.30697674 0.30697674 0.30726257 0.30726257 0.30726257 0.30726257\n",
      " 0.30726257 0.30754894 0.30754894 0.30754894 0.30754894 0.30754894\n",
      " 0.30754894 0.30754894 0.30754894 0.30754894 0.30754894 0.30754894\n",
      " 0.30754894 0.30754894 0.30754894 0.30754894 0.30783582 0.30812326\n",
      " 0.30747664 0.30747664 0.30747664 0.30776426 0.30805242 0.30740392\n",
      " 0.30740392 0.30769232 0.30769232 0.30798122 0.30798122 0.30798122\n",
      " 0.30798122 0.30798122 0.30798122 0.30827066 0.30827066 0.30856067\n",
      " 0.3079096  0.3079096  0.3079096  0.30783758 0.30842006 0.30740038\n",
      " 0.3079848  0.30842912 0.        ], recall_at_thresholds = [0.5309201  0.50829566 0.50678736 0.50678736 0.50678736 0.50678736\n",
      " 0.50377077 0.50377077 0.50377077 0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5022625  0.5022625  0.5022625  0.5022625  0.5022625\n",
      " 0.5022625  0.5007542  0.5007542  0.5007542  0.5007542  0.5007542\n",
      " 0.5007542  0.5007542  0.5007542  0.5007542  0.5007542  0.5007542\n",
      " 0.5007542  0.5007542  0.5007542  0.5007542  0.5007542  0.5007542\n",
      " 0.5007542  0.5007542  0.5007542  0.5007542  0.5007542  0.5007542\n",
      " 0.5007542  0.5007542  0.5007542  0.5007542  0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585\n",
      " 0.49924585 0.49924585 0.49924585 0.49924585 0.49924585 0.49773756\n",
      " 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756\n",
      " 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756\n",
      " 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756\n",
      " 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756 0.49773756\n",
      " 0.49622926 0.49622926 0.49622926 0.49622926 0.49622926 0.49472097\n",
      " 0.49472097 0.49472097 0.49472097 0.49472097 0.49472097 0.49472097\n",
      " 0.49472097 0.49472097 0.49472097 0.49472097 0.49472097 0.49472097\n",
      " 0.49321267 0.49321267 0.49321267 0.49170437 0.49170437 0.48868778\n",
      " 0.48868778 0.4856712  0.        ], true_negatives_at_thresholds = [1521. 1571. 1572. 1574. 1574. 1577. 1577. 1579. 1579. 1579. 1580. 1580.\n",
      " 1581. 1581. 1581. 1581. 1582. 1582. 1582. 1582. 1582. 1582. 1582. 1582.\n",
      " 1582. 1582. 1582. 1582. 1582. 1582. 1583. 1583. 1584. 1584. 1584. 1584.\n",
      " 1585. 1585. 1585. 1585. 1586. 1586. 1586. 1587. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588.\n",
      " 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1588. 1589.\n",
      " 1589. 1589. 1589. 1589. 1589. 1589. 1589. 1589. 1589. 1589. 1589. 1589.\n",
      " 1589. 1589. 1589. 1589. 1590. 1591. 1591. 1591. 1591. 1591. 1591. 1591.\n",
      " 1591. 1592. 1592. 1592. 1592. 1592. 1592. 1592. 1593. 1593. 1593. 1593.\n",
      " 1593. 1594. 1594. 1594. 1594. 1594. 1594. 1594. 1594. 1594. 1594. 1594.\n",
      " 1594. 1594. 1594. 1594. 1595. 1596. 1596. 1596. 1596. 1597. 1598. 1598.\n",
      " 1598. 1599. 1599. 1600. 1600. 1600. 1600. 1600. 1600. 1601. 1601. 1602.\n",
      " 1602. 1602. 1602. 1604. 1606. 1607. 1609. 1615. 2337.], true_positives_at_thresholds = [352. 337. 336. 336. 336. 336. 334. 334. 334. 333. 333. 333. 333. 333.\n",
      " 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333.\n",
      " 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333. 333.\n",
      " 333. 333. 333. 333. 333. 333. 333. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332. 332.\n",
      " 332. 332. 332. 332. 332. 332. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331. 331.\n",
      " 331. 331. 331. 331. 331. 331. 331. 331. 331. 330. 330. 330. 330. 330.\n",
      " 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330. 330.\n",
      " 330. 330. 330. 330. 330. 330. 329. 329. 329. 329. 329. 328. 328. 328.\n",
      " 328. 328. 328. 328. 328. 328. 328. 328. 328. 328. 327. 327. 327. 326.\n",
      " 326. 324. 324. 322.   0.]\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Summary for np.ndarray is not visible in Tensorboard by default. Consider using a Tensorboard plugin for visualization (see https://github.com/tensorflow/tensorboard-plugin-example/blob/master/README.md for more information).\n",
      "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1000: weighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Train: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['classes', 'serving_default']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Eval: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Restoring parameters from weighted_trained/model.ckpt-1000\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: weighted_trained/export/exporter/temp-b'1558504671'/saved_model.pb\n",
      "INFO:tensorflow:Loss for final step: 338.30917.\n"
     ]
    }
   ],
   "source": [
    "tf.logging.set_verbosity(v = tf.logging.INFO)\n",
    "WEIGHTED_MODEL_DIR = \"weighted_trained\"\n",
    "hparams[\"pos_weight\"] = negative_positive_ratio\n",
    "shutil.rmtree(path = WEIGHTED_MODEL_DIR, ignore_errors = True) # start fresh each time\n",
    "weighted_estimator = train_and_evaluate(WEIGHTED_MODEL_DIR, hparams)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pos_weight = 0.1, metrics['accuracy'] = 0.7163333296775818, metrics['auc_roc'] = 0.54632568359375, metrics['auc_pr'] = 0.26016926765441895\n",
      "pos_weight = 0.2, metrics['accuracy'] = 0.7789999842643738, metrics['auc_roc'] = 0.5, metrics['auc_pr'] = 0.22099998593330383\n",
      "pos_weight = 0.30000000000000004, metrics['accuracy'] = 0.7789999842643738, metrics['auc_roc'] = 0.5, metrics['auc_pr'] = 0.22099998593330383\n",
      "pos_weight = 0.4, metrics['accuracy'] = 0.7756666541099548, metrics['auc_roc'] = 0.500129759311676, metrics['auc_pr'] = 0.2210126370191574\n",
      "pos_weight = 0.5, metrics['accuracy'] = 0.5120000243186951, metrics['auc_roc'] = 0.4609963297843933, metrics['auc_pr'] = 0.201808899641037\n",
      "pos_weight = 0.6, metrics['accuracy'] = 0.57833331823349, metrics['auc_roc'] = 0.4918528199195862, metrics['auc_pr'] = 0.21565085649490356\n",
      "pos_weight = 0.7000000000000001, metrics['accuracy'] = 0.7739999890327454, metrics['auc_roc'] = 0.5097981095314026, metrics['auc_pr'] = 0.23531755805015564\n",
      "pos_weight = 0.8, metrics['accuracy'] = 0.7613333463668823, metrics['auc_roc'] = 0.5205604434013367, metrics['auc_pr'] = 0.24618789553642273\n",
      "pos_weight = 0.9, metrics['accuracy'] = 0.7770000100135803, metrics['auc_roc'] = 0.5318523049354553, metrics['auc_pr'] = 0.2699398398399353\n",
      "pos_weight = 1.0, metrics['accuracy'] = 0.5370000004768372, metrics['auc_roc'] = 0.5668630003929138, metrics['auc_pr'] = 0.25511565804481506\n",
      "pos_weight = 1.1, metrics['accuracy'] = 0.6859999895095825, metrics['auc_roc'] = 0.5732220411300659, metrics['auc_pr'] = 0.27505820989608765\n",
      "pos_weight = 1.2000000000000002, metrics['accuracy'] = 0.7786666750907898, metrics['auc_roc'] = 0.503782331943512, metrics['auc_pr'] = 0.23004376888275146\n",
      "pos_weight = 1.3000000000000003, metrics['accuracy'] = 0.7663333415985107, metrics['auc_roc'] = 0.5534766912460327, metrics['auc_pr'] = 0.285275936126709\n",
      "pos_weight = 1.4000000000000001, metrics['accuracy'] = 0.7283333539962769, metrics['auc_roc'] = 0.5770086050033569, metrics['auc_pr'] = 0.28907760977745056\n",
      "pos_weight = 1.5000000000000002, metrics['accuracy'] = 0.7546666860580444, metrics['auc_roc'] = 0.5636253356933594, metrics['auc_pr'] = 0.2862596809864044\n",
      "pos_weight = 1.6, metrics['accuracy'] = 0.6486666798591614, metrics['auc_roc'] = 0.5340327620506287, metrics['auc_pr'] = 0.24333040416240692\n",
      "pos_weight = 1.7000000000000002, metrics['accuracy'] = 0.578000009059906, metrics['auc_roc'] = 0.5848088264465332, metrics['auc_pr'] = 0.2678411900997162\n",
      "pos_weight = 1.8000000000000003, metrics['accuracy'] = 0.7796666622161865, metrics['auc_roc'] = 0.5065795183181763, metrics['auc_pr'] = 0.23545584082603455\n",
      "pos_weight = 1.9000000000000001, metrics['accuracy'] = 0.5839999914169312, metrics['auc_roc'] = 0.5925101041793823, metrics['auc_pr'] = 0.27287235856056213\n",
      "pos_weight = 2.0, metrics['accuracy'] = 0.7796666622161865, metrics['auc_roc'] = 0.5371110439300537, metrics['auc_pr'] = 0.27713724970817566\n",
      "pos_weight = 2.1, metrics['accuracy'] = 0.7770000100135803, metrics['auc_roc'] = 0.535316526889801, metrics['auc_pr'] = 0.273502379655838\n",
      "pos_weight = 2.2, metrics['accuracy'] = 0.6043333411216736, metrics['auc_roc'] = 0.606935977935791, metrics['auc_pr'] = 0.28417637944221497\n",
      "pos_weight = 2.3000000000000003, metrics['accuracy'] = 0.7696666717529297, metrics['auc_roc'] = 0.5127430558204651, metrics['auc_pr'] = 0.23748824000358582\n",
      "pos_weight = 2.4000000000000004, metrics['accuracy'] = 0.23933333158493042, metrics['auc_roc'] = 0.5079858303070068, metrics['auc_pr'] = 0.2237994372844696\n",
      "pos_weight = 2.5000000000000004, metrics['accuracy'] = 0.7630000114440918, metrics['auc_roc'] = 0.5417995452880859, metrics['auc_pr'] = 0.27297675609588623\n",
      "pos_weight = 2.6, metrics['accuracy'] = 0.7720000147819519, metrics['auc_roc'] = 0.515602171421051, metrics['auc_pr'] = 0.24355803430080414\n",
      "pos_weight = 2.7, metrics['accuracy'] = 0.27666667103767395, metrics['auc_roc'] = 0.5048233866691589, metrics['auc_pr'] = 0.22271369397640228\n",
      "pos_weight = 2.8000000000000003, metrics['accuracy'] = 0.593666672706604, metrics['auc_roc'] = 0.5875402092933655, metrics['auc_pr'] = 0.27105480432510376\n",
      "pos_weight = 2.9000000000000004, metrics['accuracy'] = 0.257666677236557, metrics['auc_roc'] = 0.5144049525260925, metrics['auc_pr'] = 0.22613264620304108\n",
      "pos_weight = 3.0000000000000004, metrics['accuracy'] = 0.7353333234786987, metrics['auc_roc'] = 0.5829346179962158, metrics['auc_pr'] = 0.2957170009613037\n",
      "pos_weight = 3.1, metrics['accuracy'] = 0.5149999856948853, metrics['auc_roc'] = 0.5847952961921692, metrics['auc_pr'] = 0.26288750767707825\n",
      "pos_weight = 3.2, metrics['accuracy'] = 0.7839999794960022, metrics['auc_roc'] = 0.5168445706367493, metrics['auc_pr'] = 0.2591606676578522\n",
      "pos_weight = 3.3000000000000003, metrics['accuracy'] = 0.737333357334137, metrics['auc_roc'] = 0.5940791368484497, metrics['auc_pr'] = 0.3060188591480255\n",
      "pos_weight = 3.4000000000000004, metrics['accuracy'] = 0.7599999904632568, metrics['auc_roc'] = 0.5990127325057983, metrics['auc_pr'] = 0.32377299666404724\n",
      "pos_weight = 3.5000000000000004, metrics['accuracy'] = 0.5860000252723694, metrics['auc_roc'] = 0.5938259959220886, metrics['auc_pr'] = 0.27349042892456055\n",
      "pos_weight = 3.6, metrics['accuracy'] = 0.7806666493415833, metrics['auc_roc'] = 0.52409428358078, metrics['auc_pr'] = 0.26468124985694885\n",
      "pos_weight = 3.7, metrics['accuracy'] = 0.28466665744781494, metrics['auc_roc'] = 0.5269027948379517, metrics['auc_pr'] = 0.23084738850593567\n",
      "pos_weight = 3.8000000000000003, metrics['accuracy'] = 0.7566666603088379, metrics['auc_roc'] = 0.5825216174125671, metrics['auc_pr'] = 0.3066270649433136\n",
      "pos_weight = 3.9000000000000004, metrics['accuracy'] = 0.37033334374427795, metrics['auc_roc'] = 0.5266042947769165, metrics['auc_pr'] = 0.23175513744354248\n",
      "pos_weight = 4.0, metrics['accuracy'] = 0.31466665863990784, metrics['auc_roc'] = 0.5234573483467102, metrics['auc_pr'] = 0.22981874644756317\n",
      "pos_weight = 4.1, metrics['accuracy'] = 0.7649999856948853, metrics['auc_roc'] = 0.5340664386749268, metrics['auc_pr'] = 0.26177364587783813\n",
      "pos_weight = 4.2, metrics['accuracy'] = 0.5316666960716248, metrics['auc_roc'] = 0.5731688141822815, metrics['auc_pr'] = 0.2580391466617584\n",
      "pos_weight = 4.3, metrics['accuracy'] = 0.7473333477973938, metrics['auc_roc'] = 0.5383970141410828, metrics['auc_pr'] = 0.2613702714443207\n",
      "pos_weight = 4.3999999999999995, metrics['accuracy'] = 0.6899999976158142, metrics['auc_roc'] = 0.596105694770813, metrics['auc_pr'] = 0.2928699553012848\n",
      "pos_weight = 4.5, metrics['accuracy'] = 0.7086666822433472, metrics['auc_roc'] = 0.626520037651062, metrics['auc_pr'] = 0.3206745386123657\n",
      "pos_weight = 4.6, metrics['accuracy'] = 0.6296666860580444, metrics['auc_roc'] = 0.5929667353630066, metrics['auc_pr'] = 0.279083788394928\n",
      "pos_weight = 4.7, metrics['accuracy'] = 0.5090000033378601, metrics['auc_roc'] = 0.5799102783203125, metrics['auc_pr'] = 0.260129451751709\n",
      "pos_weight = 4.8, metrics['accuracy'] = 0.2863333225250244, metrics['auc_roc'] = 0.5322124361991882, metrics['auc_pr'] = 0.23281534016132355\n",
      "pos_weight = 4.9, metrics['accuracy'] = 0.46166667342185974, metrics['auc_roc'] = 0.48592710494995117, metrics['auc_pr'] = 0.2137468159198761\n",
      "pos_weight = 5.0, metrics['accuracy'] = 0.7683333158493042, metrics['auc_roc'] = 0.5290449261665344, metrics['auc_pr'] = 0.2577182650566101\n",
      "pos_weight = 5.1, metrics['accuracy'] = 0.25200000405311584, metrics['auc_roc'] = 0.5153253078460693, metrics['auc_pr'] = 0.2264535129070282\n",
      "pos_weight = 5.2, metrics['accuracy'] = 0.7713333368301392, metrics['auc_roc'] = 0.5201144814491272, metrics['auc_pr'] = 0.24720941483974457\n",
      "pos_weight = 5.3, metrics['accuracy'] = 0.7559999823570251, metrics['auc_roc'] = 0.5227411985397339, metrics['auc_pr'] = 0.24617953598499298\n",
      "pos_weight = 5.4, metrics['accuracy'] = 0.23533333837985992, metrics['auc_roc'] = 0.5080032348632812, metrics['auc_pr'] = 0.22379761934280396\n",
      "pos_weight = 5.5, metrics['accuracy'] = 0.48366665840148926, metrics['auc_roc'] = 0.5836788415908813, metrics['auc_pr'] = 0.2604827284812927\n",
      "pos_weight = 5.6, metrics['accuracy'] = 0.7003333568572998, metrics['auc_roc'] = 0.5931574106216431, metrics['auc_pr'] = 0.29467445611953735\n",
      "pos_weight = 5.7, metrics['accuracy'] = 0.5643333196640015, metrics['auc_roc'] = 0.5911359786987305, metrics['auc_pr'] = 0.26985108852386475\n",
      "pos_weight = 5.8, metrics['accuracy'] = 0.7163333296775818, metrics['auc_roc'] = 0.5804269313812256, metrics['auc_pr'] = 0.290054589509964\n",
      "pos_weight = 5.9, metrics['accuracy'] = 0.5493333339691162, metrics['auc_roc'] = 0.5816148519515991, metrics['auc_pr'] = 0.2638309597969055\n",
      "pos_weight = 6.0, metrics['accuracy'] = 0.2926666736602783, metrics['auc_roc'] = 0.5355169177055359, metrics['auc_pr'] = 0.23418347537517548\n",
      "pos_weight = 6.1, metrics['accuracy'] = 0.44333332777023315, metrics['auc_roc'] = 0.5551363825798035, metrics['auc_pr'] = 0.24537882208824158\n",
      "pos_weight = 6.2, metrics['accuracy'] = 0.7616666555404663, metrics['auc_roc'] = 0.5514689683914185, metrics['auc_pr'] = 0.277342826128006\n",
      "pos_weight = 6.3, metrics['accuracy'] = 0.37033334374427795, metrics['auc_roc'] = 0.5581355094909668, metrics['auc_pr'] = 0.24473746120929718\n",
      "pos_weight = 6.4, metrics['accuracy'] = 0.4856666624546051, metrics['auc_roc'] = 0.6007002592086792, metrics['auc_pr'] = 0.26901835203170776\n",
      "pos_weight = 6.5, metrics['accuracy'] = 0.765333354473114, metrics['auc_roc'] = 0.5266817212104797, metrics['auc_pr'] = 0.25197941064834595\n",
      "pos_weight = 6.6, metrics['accuracy'] = 0.7126666903495789, metrics['auc_roc'] = 0.6003698110580444, metrics['auc_pr'] = 0.30186763405799866\n",
      "pos_weight = 6.7, metrics['accuracy'] = 0.3240000009536743, metrics['auc_roc'] = 0.558617353439331, metrics['auc_pr'] = 0.24367161095142365\n",
      "pos_weight = 6.8, metrics['accuracy'] = 0.3176666796207428, metrics['auc_roc'] = 0.5514682531356812, metrics['auc_pr'] = 0.24071015417575836\n",
      "pos_weight = 6.9, metrics['accuracy'] = 0.7543333172798157, metrics['auc_roc'] = 0.518203854560852, metrics['auc_pr'] = 0.24152442812919617\n",
      "pos_weight = 7.0, metrics['accuracy'] = 0.26766666769981384, metrics['auc_roc'] = 0.5176887512207031, metrics['auc_pr'] = 0.2273983657360077\n",
      "pos_weight = 7.1, metrics['accuracy'] = 0.7820000052452087, metrics['auc_roc'] = 0.5227470993995667, metrics['auc_pr'] = 0.263968288898468\n",
      "pos_weight = 7.2, metrics['accuracy'] = 0.2849999964237213, metrics['auc_roc'] = 0.5269744396209717, metrics['auc_pr'] = 0.23091676831245422\n",
      "pos_weight = 7.3, metrics['accuracy'] = 0.22200000286102295, metrics['auc_roc'] = 0.49956145882606506, metrics['auc_pr'] = 0.22084887325763702\n",
      "pos_weight = 7.4, metrics['accuracy'] = 0.5663333535194397, metrics['auc_roc'] = 0.5760244131088257, metrics['auc_pr'] = 0.2619193494319916\n",
      "pos_weight = 7.5, metrics['accuracy'] = 0.29366666078567505, metrics['auc_roc'] = 0.5256575345993042, metrics['auc_pr'] = 0.2305583655834198\n",
      "pos_weight = 7.6, metrics['accuracy'] = 0.7046666741371155, metrics['auc_roc'] = 0.5498083233833313, metrics['auc_pr'] = 0.2612590193748474\n",
      "pos_weight = 7.7, metrics['accuracy'] = 0.5383333563804626, metrics['auc_roc'] = 0.5923526287078857, metrics['auc_pr'] = 0.26799923181533813\n",
      "pos_weight = 7.8, metrics['accuracy'] = 0.699999988079071, metrics['auc_roc'] = 0.5724411010742188, metrics['auc_pr'] = 0.2789529263973236\n",
      "pos_weight = 7.9, metrics['accuracy'] = 0.3036666810512543, metrics['auc_roc'] = 0.5279660820960999, metrics['auc_pr'] = 0.23144273459911346\n",
      "pos_weight = 8.0, metrics['accuracy'] = 0.5189999938011169, metrics['auc_roc'] = 0.6195749044418335, metrics['auc_pr'] = 0.2803190350532532\n",
      "pos_weight = 8.1, metrics['accuracy'] = 0.7379999756813049, metrics['auc_roc'] = 0.532355785369873, metrics['auc_pr'] = 0.2512339949607849\n",
      "pos_weight = 8.2, metrics['accuracy'] = 0.5289999842643738, metrics['auc_roc'] = 0.49571099877357483, metrics['auc_pr'] = 0.21814674139022827\n",
      "pos_weight = 8.3, metrics['accuracy'] = 0.6740000247955322, metrics['auc_roc'] = 0.6108397841453552, metrics['auc_pr'] = 0.29696863889694214\n",
      "pos_weight = 8.4, metrics['accuracy'] = 0.4099999964237213, metrics['auc_roc'] = 0.5240165591239929, metrics['auc_pr'] = 0.23094524443149567\n",
      "pos_weight = 8.5, metrics['accuracy'] = 0.24833333492279053, metrics['auc_roc'] = 0.5104261040687561, metrics['auc_pr'] = 0.22468610107898712\n",
      "pos_weight = 8.6, metrics['accuracy'] = 0.5746666789054871, metrics['auc_roc'] = 0.5881013870239258, metrics['auc_pr'] = 0.2696864902973175\n",
      "pos_weight = 8.7, metrics['accuracy'] = 0.28866666555404663, metrics['auc_roc'] = 0.5170462727546692, metrics['auc_pr'] = 0.22724305093288422\n",
      "pos_weight = 8.8, metrics['accuracy'] = 0.5396666526794434, metrics['auc_roc'] = 0.5822489261627197, metrics['auc_pr'] = 0.2630426585674286\n",
      "pos_weight = 8.9, metrics['accuracy'] = 0.2626666724681854, metrics['auc_roc'] = 0.5226689577102661, metrics['auc_pr'] = 0.2291370928287506\n",
      "pos_weight = 9.0, metrics['accuracy'] = 0.7756666541099548, metrics['auc_roc'] = 0.503871738910675, metrics['auc_pr'] = 0.2264360636472702\n",
      "pos_weight = 9.1, metrics['accuracy'] = 0.32766667008399963, metrics['auc_roc'] = 0.5150251984596252, metrics['auc_pr'] = 0.22649043798446655\n",
      "pos_weight = 9.2, metrics['accuracy'] = 0.2590000033378601, metrics['auc_roc'] = 0.5163708925247192, metrics['auc_pr'] = 0.2268693447113037\n",
      "pos_weight = 9.3, metrics['accuracy'] = 0.22966666519641876, metrics['auc_roc'] = 0.503613293170929, metrics['auc_pr'] = 0.22225543856620789\n",
      "pos_weight = 9.4, metrics['accuracy'] = 0.768666684627533, metrics['auc_roc'] = 0.5144327282905579, metrics['auc_pr'] = 0.24011395871639252\n",
      "pos_weight = 9.5, metrics['accuracy'] = 0.5529999732971191, metrics['auc_roc'] = 0.5859231948852539, metrics['auc_pr'] = 0.2660071551799774\n",
      "pos_weight = 9.6, metrics['accuracy'] = 0.6736666560173035, metrics['auc_roc'] = 0.5773041248321533, metrics['auc_pr'] = 0.2764132618904114\n",
      "pos_weight = 9.700000000000001, metrics['accuracy'] = 0.4620000123977661, metrics['auc_roc'] = 0.5700318217277527, metrics['auc_pr'] = 0.2526324391365051\n",
      "pos_weight = 9.8, metrics['accuracy'] = 0.7730000019073486, metrics['auc_roc'] = 0.5637494921684265, metrics['auc_pr'] = 0.30277568101882935\n",
      "pos_weight = 9.9, metrics['accuracy'] = 0.6240000128746033, metrics['auc_roc'] = 0.5920240879058838, metrics['auc_pr'] = 0.2775095999240875\n",
      "pos_weight = 10.0, metrics['accuracy'] = 0.7749999761581421, metrics['auc_roc'] = 0.5257407426834106, metrics['auc_pr'] = 0.25975894927978516\n"
     ]
    }
   ],
   "source": [
    "metrics_list = []\n",
    "tf.logging.set_verbosity(v = tf.logging.ERROR)\n",
    "for pos_weight in list(np.arange(0.1, 10.1, 0.1)):\n",
    "  hparams[\"pos_weight\"] = pos_weight\n",
    "  UNWEIGHTED_MODEL_DIR = \"unweighted_trained\"\n",
    "  \n",
    "  shutil.rmtree(path = UNWEIGHTED_MODEL_DIR, ignore_errors = True) # start fresh each time\n",
    "  \n",
    "  weighted_estimator = tf.estimator.Estimator(\n",
    "    model_fn = model_fn,\n",
    "    params = hparams,\n",
    "    config = tf.estimator.RunConfig(save_checkpoints_secs = 600, tf_random_seed = 1),\n",
    "    model_dir = UNWEIGHTED_MODEL_DIR)\n",
    "  \n",
    "  weighted_estimator.train(\n",
    "    input_fn = lambda: train_input_fn(\n",
    "      df = df[:train_rows], \n",
    "      batch_size = 128), \n",
    "    steps = 1000)\n",
    "  \n",
    "  metrics = weighted_estimator.evaluate(\n",
    "    input_fn = lambda: eval_input_fn(\n",
    "      df = df[train_rows:], \n",
    "      batch_size = 128))\n",
    "  \n",
    "  metrics_list.append(metrics)\n",
    "  print(\"pos_weight = {}, metrics['accuracy'] = {}, metrics['auc_roc'] = {}, metrics['auc_pr'] = {}\".format(pos_weight, metrics[\"accuracy\"], metrics[\"auc_roc\"], metrics[\"auc_pr\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fba72319a90>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(rc = {\"figure.figsize\": (15,10)})\n",
    "sns.lineplot(\n",
    "  x = \"pos_weight\", \n",
    "  y = \"accuracy\", \n",
    "  data = {\n",
    "    \"pos_weight\": list(np.arange(0.1, 10.1, 0.1)), \n",
    "    \"accuracy\": [metric[\"accuracy\"] \n",
    "                 for metric in metrics_list]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbb6c094358>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(\n",
    "  x = \"pos_weight\", \n",
    "  y = \"auc_roc\", \n",
    "  data = {\n",
    "    \"pos_weight\": list(np.arange(0.1, 10.1, 0.1)), \n",
    "    \"auc_roc\": [metric[\"auc_roc\"] \n",
    "                for metric in metrics_list]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbb6b3e2240>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(\n",
    "  x = \"pos_weight\", \n",
    "  y = \"auc_pr\", \n",
    "  data = {\n",
    "    \"pos_weight\": list(np.arange(0.1, 10.1, 0.1)), \n",
    "    \"auc_pr\": [metric[\"auc_pr\"] \n",
    "               for metric in metrics_list]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbb63595400>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(\n",
    "  data = pd.DataFrame(\n",
    "    data = {\n",
    "      \"accuracy\": [metric[\"accuracy\"] \n",
    "                   for metric in metrics_list],\n",
    "      \"auc_roc\": [metric[\"auc_roc\"] \n",
    "                  for metric in metrics_list],\n",
    "      \"auc_pr\": [metric[\"auc_pr\"] \n",
    "                 for metric in metrics_list]}, \n",
    "    index = list(np.arange(0.1, 10.1, 0.1))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbb637bf438>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "accuracy_arr = np.array([metric[\"accuracy\"] \n",
    "                         for metric in metrics_list])\n",
    "accuracy_arr /= np.sum(accuracy_arr)\n",
    "\n",
    "auc_roc_arr = np.array([metric[\"auc_roc\"] \n",
    "                        for metric in metrics_list])\n",
    "auc_roc_arr /= np.sum(auc_roc_arr)\n",
    "\n",
    "auc_pr_arr = np.array([metric[\"auc_pr\"] \n",
    "                       for metric in metrics_list])\n",
    "auc_pr_arr /= np.sum(auc_pr_arr)\n",
    "\n",
    "sns.lineplot(\n",
    "  data = pd.DataFrame(\n",
    "    data = {\n",
    "      \"accuracy\": accuracy_arr, \n",
    "      \"auc_roc\": auc_roc_arr,\n",
    "      \"auc_pr\": auc_pr_arr,\n",
    "      \"avg\": (accuracy_arr * 0.2 + auc_roc_arr * 0.1 + auc_pr_arr * 0.7)}, \n",
    "    index = list(np.arange(0.1, 10.1, 0.1))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbad83a7d30>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(\n",
    "  data = pd.DataFrame(\n",
    "    data = {\n",
    "      \"avg\": (accuracy_arr * 0.2 + auc_roc_arr * 0.1 + auc_pr_arr * 0.7)}, \n",
    "    index = list(np.arange(0.1, 10.1, 0.1))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "Let's look at the top 10 sorted descending AUC_ROC and AUC_PR values and the corresponding positive weights."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### AUC_ROC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.62652004 4.5       ]\n",
      " [0.6195749  8.        ]\n",
      " [0.61083978 8.3       ]\n",
      " [0.60693598 2.2       ]\n",
      " [0.60070026 6.4       ]\n",
      " [0.60036981 6.6       ]\n",
      " [0.59901273 3.4       ]\n",
      " [0.59610569 4.4       ]\n",
      " [0.59407914 3.3       ]\n",
      " [0.593826   3.5       ]]\n"
     ]
    }
   ],
   "source": [
    "auc_roc_val = np.array(object = [metric[\"auc_roc\"] \n",
    "                                 for metric in metrics_list])\n",
    "auc_roc_idx = np.flip(m = np.argsort(a = auc_roc_val))\n",
    "auc_roc_sorted = np.stack(\n",
    "  arrays = [auc_roc_val[auc_roc_idx], \n",
    "            np.arange(0.1, 10.1, 0.1)[auc_roc_idx]], \n",
    "  axis = 1)\n",
    "print(auc_roc_sorted[0:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pos_weight of 1.0 is 35 highest AUC_ROC with value 0.5668630003929138\n"
     ]
    }
   ],
   "source": [
    "auc_roc_baseline_idx = np.where(auc_roc_sorted[:, 1] == 1.0)[0]\n",
    "print(\"pos_weight of 1.0 is {0} highest AUC_ROC with value {1}\".format(int(auc_roc_baseline_idx), auc_roc_sorted[auc_roc_baseline_idx][0][0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### AUC_PR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.323773   3.4       ]\n",
      " [0.32067454 4.5       ]\n",
      " [0.30662706 3.8       ]\n",
      " [0.30601886 3.3       ]\n",
      " [0.30277568 9.8       ]\n",
      " [0.30186763 6.6       ]\n",
      " [0.29696864 8.3       ]\n",
      " [0.295717   3.        ]\n",
      " [0.29467446 5.6       ]\n",
      " [0.29286996 4.4       ]]\n"
     ]
    }
   ],
   "source": [
    "auc_pr_val = np.array(object = [metric[\"auc_pr\"] \n",
    "                                for metric in metrics_list])\n",
    "auc_pr_idx = np.flip(m = np.argsort(a = auc_pr_val))\n",
    "auc_pr_sorted = np.stack(\n",
    "  arrays = [auc_pr_val[auc_pr_idx], \n",
    "            np.arange(0.1, 10.1, 0.1)[auc_pr_idx]], \n",
    "  axis = 1)\n",
    "print(auc_pr_sorted[0:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pos_weight of 1.0 is 51 highest AUC_PR with value 0.25511565804481506\n"
     ]
    }
   ],
   "source": [
    "auc_pr_baseline_idx = np.where(auc_pr_sorted[:, 1] == 1.0)[0]\n",
    "print(\"pos_weight of 1.0 is {0} highest AUC_PR with value {1}\".format(int(auc_pr_baseline_idx), auc_pr_sorted[auc_pr_baseline_idx][0][0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see it makes sense that for AUC_ROC the highest value is at positive weight 4.5 and for AUC_PR the a very close second highest value is at positive weight 4.5 which is very close to the negative:positive ratio of 4.520795660036166. Since this is an imbalanced dataset, we want to focus more on the AUC_PR. If we didn't use a weighted cross entropy loss function (i.e. a pos_weight of 1.0) then we would have ended up with the 35 and 51 highest AUC_ROC and AUC_PR respectively which is a lot worse."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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